statsmodels.stats.oneway.convert_effectsize_fsqu#

statsmodels.stats.oneway.convert_effectsize_fsqu(f2=None, eta2=None)[source]#

Convert squared effect sizes in f family

f2 is signal to noise ratio, var_explained / var_residual

eta2 is proportion of explained variance, var_explained / var_total

uses the relationship: f2 = eta2 / (1 - eta2)

Parameters:

f2None or float: Squared Cohen’s F effect size. If f2 is not None, then eta2 will be computed.
eta2None or float: Squared eta effect size. If f2 is None and eta2 is not None, then f2 is computed.

Returns:

EffectSizeFsquResult: A namedtuple with f2 and eta2 as attributes.